脑电图的物理和数学原理

English | 2024 | ISBN: 9781032639260 | 467 pages | True PDF | 41.72 MB

This book focuses on a systematic introduction to the knowledge of mathematics and physics of electroencephalogram (EEG) and discusses an in-depth application of EEG and the development of new methods and technologies for mining and analyzing EEG.

The Physics and Mathematics of Electroencephalogram offers a systematic overview of the technology for brain function and disease. It covers six parts: background knowledge of EEG, EEG forward problems, high-resolution EEG imaging, EEG inverse problems, EEG reference electrode, and EEG cloud platform. The author reviews the critical technologies in brain function and disease, such as EEG sourcing, EEG imaging, and EEG reference electrode standardization technique. The book’s aim is to clarify the mechanism of EEG from the perspective of physics, mathematics, and engineering science to help multidisciplinary readers better understand and use EEG information more effectively.

This book can be used as reference for researchers in the fields of neuroengineering, cognitive neuroscience, neurology, psychiatry, applied mathematics, and brain-like intelligence.

这本书系统介绍了脑电图（EEG）的数学和物理学知识，并讨论了EEG的深入应用以及开发新的方法和技术来挖掘和分析EEG。 《脑电图的物理与数学》提供了一个关于大脑功能和疾病技术的整体概览。它包括六部分内容：EEG背景知识、前向问题EEG、高分辨率EEG成像、反向问题EEG、EEG参考电极以及EEG云平台。作者回顾了在大脑功能和疾病中的一些关键技术，如EEG源定位、EEG成像及EEG参考电极标准化技术。本书的目标是从物理学、数学和工程科学的角度来阐明EEG的工作机制，以帮助跨学科读者更好地理解和有效利用EEG信息。 这本书适用于神经工程学、认知神经科学、神经学、精神病学、应用数学以及类似大脑智能的研究人员的参考书。

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